Multi-temporal backscattering behavior of rice crop canopies based on dense medium model simulations

被引:0
|
作者
Koay, J. Y.
Ewe, H. T.
Chuah, H. T.
机构
来源
PIERS 2008 HANGZHOU: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, VOLS I AND II, PROCEEDINGS | 2008年
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent years, efforts to study the backscattering behavior of rice crop canopies have resulted in the measurement of the multi-temporal backscattering coefficient of rice crops over various incident angles, frequencies and polarizations through the use of space-borne radars and ground-based scatterometers. With the availability of an these data, different scattering models have been developed for rice crop canopies in an attempt to further analyze the results obtained. One such model is based on the radiative transfer equations, and incorporates the Dense Medium Phase and Amplitude Correction Theory (DM-PACT) as well as the amplitude and Fresnel phase corrections to take into account coherent effects and Fresnel field effects of closely spaces scatterers, respectively. Hence, the canopy is modeled as a dense medium. An early variation of the dense medium model for rice crops employs needle-shaped scatterers to simulate the leaves of the rice plants. In this study, the phase matrix of the rice crop canopy is obtained using the scattered field of elliptic disk-shaped scatterers (with the inclusion of the Fresnel field effects) to model the leaves. This model is then used in the simulation of the backscattering coefficient of rice crop canopies at different stages of growth, through which the contribution of the different scatterers in the canopy and the backscattering mechanisms involved are then analyzed. This enables a better understanding of the multi-temporal backscattering behavior of rice crop canopies, particularly that of the sensitivity of the rice crop backscattering coefficient to the different scatterers in the medium and the input parameters of the model.
引用
收藏
页码:685 / 689
页数:5
相关论文
共 50 条
  • [1] Monitoring Rice Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets
    He, Ze
    Li, Shihua
    Wang, Yong
    Dai, Leiyu
    Lin, Sen
    REMOTE SENSING, 2018, 10 (02):
  • [2] Deep learning based multi-temporal crop classification
    Zhong, Liheng
    Hu, Lina
    Zhou, Hang
    REMOTE SENSING OF ENVIRONMENT, 2019, 221 : 430 - 443
  • [3] SENTINEL-2 MULTI-TEMPORAL DATA FOR RICE CROP CLASSIFICATION IN NEPAL
    Baidar, Tina
    Fernandez-Beltran, Ruben
    Pla, Filiberto
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4259 - 4262
  • [4] Crop planting region extraction based on cloud model and multi-temporal MODIS data
    Du, Juan
    Guan, Zequn
    Liu, Kequn
    Qin, Kun
    Xu, Jia
    REMOTE SENSING AND GIS DATA PROCESSING AND APPLICATIONS; AND INNOVATIVE MULTISPECTRAL TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2, 2007, 6790
  • [5] Performance evaluation of maximum likelihood SAR segmentation for multi-temporal rice crop mapping
    Davidson, G
    Ouchi, K
    Saito, G
    Ishitsuka, N
    Mohri, K
    Uratsuka, S
    RADAR 2002, 2002, (490): : 390 - 394
  • [6] Dryland Crop Recognition Based on Multi-temporal Polarization SAR Data
    Sun, Zheng
    Wang, Di
    Zhou, Qingbo
    2019 8TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2019,
  • [7] Estimation of regional crop yield by assimilating multi-temporal TM images into crop growth model
    Yang, Peng
    Zhou, Qingbo
    Chen, Zhongxin
    Zha, Yan
    Wu, Wenbin
    Shibasaki, Ryosuke
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 2259 - +
  • [8] A multi-temporal phenology based classification approach for Crop Monitoring in Kenya
    Laneve, Giovanni
    Luciani, Roberto
    Jahjah, Munzer
    SOUTH AFRICAN JOURNAL OF GEOMATICS, 2019, 8 (02): : 249 - 264
  • [9] Neural Network Model Based On Multi-Temporal BAM
    Liu, Wei
    Engineering Intelligent Systems, 2022, 30 (01): : 39 - 48
  • [10] Rice crop parameter retrieval using multi-temporal, multi-incidence angle Radarsat SAR data
    Chakraborty, M
    Manjunath, KR
    Panigrahy, S
    Kundu, N
    Parihar, JS
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2005, 59 (05) : 310 - 322